Scientist 3 - Translational Medicine, Oncology

Roche • South San Francisco, CA

9d • $100,400 - $186,400

About The Position

Genentech's Translational Medicine Oncology (TM ONC) Department supports the entire R&D portfolio of novel therapies. We develop and implement biomarker strategies to study disease pathways, confirm a therapeutic's mechanism of action, and improve clinical trial efficiency and success. Biomarker scientists within our department are responsible for conducting biomarker discovery, developing biomarker strategies, designing and implementing biomarker assays, and interpreting biomarker results. Additionally, we conduct foundational clinical translational research to study the molecular and cellular pathways driving disease to generate novel target and biomarker approaches.

The Opportunity
As a scientist in Translational Oncology, you will drive hands-on, lab-based translational research and discovery efforts in lung and gastrointestinal (GI) cancers. This is an exciting opportunity to contribute to one of the fastest-moving areas in oncology, where rapid advances in RAS-targeted therapies are transforming the treatment landscape and creating unprecedented opportunities for biomarker discovery and translational innovation. Working within a vibrant, highly collaborative environment alongside experts across Research Oncology, Computational Sciences, and Translational Genomics and Proteomics, you will bridge foundational science and clinical impact to accelerate new therapeutic strategies.

Requirements

• Ph.D. in Cancer Biology, Cell Biology, Molecular Biology, Genetics & Genomics, or a related discipline (or a Bachelor's degree with 6+ years / Master's degree with 4+ years of relevant research experience).
• Deep understanding of cancer biology, mechanisms of action and resistance to targeted therapies, and oncogenic signaling pathways (e.g., RAS/MAPK), alongside foundational knowledge of cancer immunology and the tumor microenvironment.
• Demonstrated ability to independently lead laboratory research using methods such as genome editing, genetic/chemical perturbation screening, cell-based/biochemical assays, cell culture and organoid models, flow cytometry, spatial omics, or single-cell technologies.
• Demonstrated scientific contributions through peer-reviewed publications, patents, or impactful research accomplishments.

Nice To Haves

• Familiarity or proficiency with the computational analysis of high-throughput data (such as multi-omics, single-cell, or spatial transcriptomics datasets).

Responsibilities

• Drive Hypothesis Validation: Design and execute laboratory experiments to validate biological and therapeutic hypotheses derived from non-clinical, clinical, and real-world data.
• Analyze High-Dimensional Data: Synthesize, analyze, and interpret experimental and computational data in close collaboration with functional domain experts.
• Decipher Disease Mechanisms: Investigate the molecular mechanisms underlying disease progression, therapeutic response, and acquired resistance to targeted therapies (e.g., RAS inhibitors) to inform patient selection, pharmacodynamic biomarker assessment, and combination treatment strategies.
• Innovate Assay Platforms: Identify, evaluate, and validate innovative cell-based, biochemical, and multi-omic assays, including single-cell and functional genomics technologies, to enable scalable hypothesis testing.
• Build Strategic Partnerships: Proactively establish strategic research collaborations to access emerging technologies, datasets, and analytical methods that fuel translational innovation.
• Collaborate for Impact: Partner seamlessly across multi-disciplinary teams to translate scientific insights into meaningful therapeutic opportunities for patients.

Benefits

• A discretionary annual bonus may be available based on individual and Company performance.
• This position also qualifies for the benefits detailed at the link provided below.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree